Assessing Diastolic Function With AI and Echocardiography: From Risk Prediction to Therapeutic Targets.
- DOI
- 10.1016/j.jcmg.2026.10.003
- Published
- 2026 Nov 7
- Container
- JACC. Cardiovascular imaging
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.jcmg.2026.10.003,
title = {Assessing Diastolic Function With AI and Echocardiography: From Risk Prediction to Therapeutic Targets.},
author = {Kagiyama N},
year = {2026},
journal = {JACC. Cardiovascular imaging},
doi = {10.1016/j.jcmg.2026.10.003},
url = {https://doi.org/10.1016/j.jcmg.2026.10.003}
}RIS
TY - JOUR TI - Assessing Diastolic Function With AI and Echocardiography: From Risk Prediction to Therapeutic Targets. AU - Kagiyama N PY - 2026 JO - JACC. Cardiovascular imaging DO - 10.1016/j.jcmg.2026.10.003 UR - https://doi.org/10.1016/j.jcmg.2026.10.003 ER -
APA
N, K. (2026). Assessing Diastolic Function With AI and Echocardiography: From Risk Prediction to Therapeutic Targets.. JACC. Cardiovascular imaging. https://doi.org/10.1016/j.jcmg.2026.10.003
Source records
- pubmed · retrieved 2026-11-10T20:17:48.366Z